AI / ML Engineer Large Language Models (LLMs)
Machine Learning Engineer Large Language Models (LLMs)
Were partnered with a leading tech organisation at the forefront of Generative AI innovation , hiring a Machine Learning Engineer to help build the infrastructure, workflows, and systems that bring cutting-edge LLM research to life.
What Youll Do:
- Design and build tools, methods, and infrastructure to advance large language model development
- Collaborate with researchers to identify and solve weaknesses in agent-generated code
- Develop scalable frameworks for annotation, training, and model experimentation
- Apply agentic design principles to improve LLM reasoning, autonomy, and reliability
- Work hands-on with Python , LLMs , and LLaMA models , running experiments and optimising performance
- Be responsible for procuring and managing your own coding environment (e.g., Jupyter Notebook , Google Colab )
Key Requirements:
- 4+ years experience in Machine Learning / AI (LLMs, data mining, recommendation systems, or pattern recognition)
- Proven hands-on experience with LLM agents and generative AI systems
- Strong Python skills, with experience in PyTorch or TensorFlow
- Familiarity with agentic design principles and LLaMA-based architectures
- Advanced debugging & problem-solving ability
- Experience running large-scale ML experiments and managing compute environments
- Masters (or PhD) in Computer Science , AI , ML , or related field
Bonus:
- Research track record (e.g., publications, Kaggle Master)
- Backend (APIs) + frontend (React/JavaScript) experience for annotation tools
Contract Details:
- 400 - 525 Per Day (Outside IR35)
- 612 Months (Likely to Extend)
- Remote UK Based
Apply now for immediate consideration.
- Company
- Experis UK
- Location
- England, UK
- Employment Type
- Part-time
- Posted
- Company
- Experis UK
- Location
- England, UK
- Employment Type
- Part-time
- Posted